Bibliographic record
Abstract
This paper seeks to discuss of one of the most significant questions in the critical discourse of jazz studies and of ethnomusicology more broadly: How does a musical genre, such as jazz, come to be understood as ‘art music’? This paper looks to develop a theory about the concept of ‘art music’ in relation to jazz, as it is understood in North American culture. In applying this theory, which I call the audience-aesthetic specialization theory, I investigate specifically the stylistic innovations of trumpeter Miles Davis in the mid-fifties, and the place of jazz in American culture of the mid-to-late-fifties more broadly. From this investigation, I attempt to extrapolate a new historiographical understanding of the stylistic changes that facilitated the widespread cultural recognition of jazz as ‘art’. Wherever possible, I attempt to nuance my claims using a multi-faceted approach that considers a range of theoretical, aesthetic, and cultural ideas that surround the concept of ‘art music’ as it relates to jazz.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".